高光谱成像
遥感
计算机科学
人工智能
模式识别(心理学)
多光谱图像
光谱带
空间分析
全光谱成像
光谱成像
作者
Jon Atli Benediktsson,Pedram Ghamisi
摘要
This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years. This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide.
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